Senior Associate Data Scientist, Operational Risk Management

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
New York, NYMcLean, VARichmond, VA
Salary
$135,600–$154,800 / yr
Posted
36 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $145k
$126k most similar roles pay here $228k

This role pays less than 77% of similar roles. Most pay $149,181–$212,218 — the shaded band above. At the midpoint, this role pays about $145k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist, Operational Risk Management

Senior Associate, Data Scientist - Operational Risk Management joins the Operational Risk Analytics, Innovation, and Reporting team to drive end-to-end data analysis and reporting of operational risk performance. This role involves collaborating with cross-functional teams of engineers and product managers to develop data-driven insights for senior executives and the board. The position focuses on building machine learning models through all phases of development, including design, training, evaluation, and implementation, while experimenting with emerging NLP and Generative AI technologies. Candidates will work with a technical stack featuring Python, Conda, AWS, H2O, Spark, SQL, Scala, and R to analyze large volumes of numeric and textual data. The role addresses the critical business problem of managing operational risk by leveraging advanced computing and machine learning to improve efficiency and provide strategic insights for risk management decisions.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

What you'll do

  • Perform end-to-end data analysis and reporting of operational risk performance for senior executives.
  • Develop data-driven insights to inform strategic risk management decisions and practices.
  • Build machine learning models through all phases including design, training, evaluation, validation, and implementation.
  • Use Python, Spark, and AWS to extract insights from large volumes of numeric and textual data.
  • Create next-generation features powered by emerging NLP and Generative AI technologies.
  • Translate complex technical work into tangible business goals for non-technical stakeholders.
  • Research and evaluate emerging technologies to improve risk management efficiency.

What we're looking for

  • Must have a Bachelor's degree in a quantitative field plus 2 years of experience performing data analytics.
  • Alternatively, must have a Master's degree in a quantitative field or an MBA with a quantitative concentration.
  • A Master's or PhD in a STEM field is preferred.
  • At least 2 years of experience in Python, Scala, or R.
  • At least 2 years of experience with machine learning.
  • At least 2 years of experience with SQL.
  • Experience working with AWS and other cloud computing platforms.
  • Proficiency in developing models for clustering, classification, sentiment analysis, time series, and deep learning.

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